We performed a comparison between erwin Data Intelligence by Quest and SAP Data Governance based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Collibra, Informatica and others in Data Governance."We use the codeset mapping quite a bit to match value pairs to use within the conversion as well. Those value pair mappings come in quite handy and are utilized quite extensively. They then feed into the automation of the source data extraction, like the source data mapping of the source data extraction, the code development, forward engineering using the ODI connector for the forward automation."
"Mind map... is a really good feature because it is very helpful in seeing which column's tables are related. Also, you can flag them with "sensitive data" and other indicators. You can also customize your own features for the mind map. That was another very robust feature."
"The solution saves time in data discovery and understanding our entire organization's data."
"Data Intelligence allows us to automate multiple tasks we had previously done manually, such as restructuring the metadata for our purposes, setting up ETL flows, and defining the data tables we create. It also enables us to standardize our approach and our technical processes."
"The biggest benefit with erwin DI is that I have a single source of truth that I can send anybody to. If anybody doesn't know the answer we can go back to it. Just having a central location of business rules is good."
"The interface is easy to use. I also like Erwin's automatic data classification and data quality checks."
"Overall, DI's data cataloging, data literacy, and automation have helped our decision-makers because when a source wants to change something, we immediately know what the impact is going to be downstream."
"Being able to capture different business metrics and organize them in different catalogs is most valuable. We can organize these metrics into sales-related metrics, customer-related metrics, supply chain-related metrics, etc."
"The new workflow engine is based on the web app rather than the Java-based approach."
"It is robust solution."
"It's a little bit clunky. I think a lot of these features were bolted on, and they don't necessarily transition smoothly in the interface. I would like to see a little more cohesion."
"The versioning can sometimes be confusing because we use the publishing feature for the mapping. Technical analysts sometimes have two versions, and they should know that the public version is the correct one."
"Everything about Data Intelligence is complex. Though we've used the tool for five years, we're still only using about 30 to 40 percent of its capabilities. It would be helpful if we could customize and simplify the user interface because there are so many redundant things."
"There was a huge learning curve, and I'd been in software development for most of my career. The application itself, and how it runs menus and screens when you can modify and code, is complex. I have found that kind of cumbersome."
"There may be some opportunities for improvement in terms of the user interface to make it a little bit more intuitive. They have made some good progress. Originally, when we started, we were on version 9 or 10. Over the last couple of releases, I've seen some improvements that they have made, but there might be a few other additional areas in UI where they can make some enhancements."
"There is room for improvement with the data cataloging capability. Right now, there is a list of a lot of sources that they can catalog, or they can create metadata upon, but if they can add more then that would be a good plus for this tool."
"The metadata ingestion is very nice because of the ability to automate it. It would be nice to be able to do this ingestion, or set it up, from one place, instead of having to set it up separately for every data asset that is ingested."
"One big improvement we would like to see would be the workflow integration of codeset mapping with the erwin source to target mapping. That's a bit clunky for us. The two often seem to be in conflict with one another. Codeset mappings that are used within the source to target mappings are difficult to manage because they get locked."
"SAP should come up with specialized services as per their customer's requirements."
"I would like to see harmonizing with some of the external third-party products so that it will all be within SAP."
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erwin Data Intelligence by Quest is ranked 4th in Data Governance with 18 reviews while SAP Data Governance is ranked 22nd in Data Governance with 2 reviews. erwin Data Intelligence by Quest is rated 8.6, while SAP Data Governance is rated 8.0. The top reviewer of erwin Data Intelligence by Quest writes "Enabled us to centralize a tremendous amount of data into a common standard, and uniform reporting has decreased report requests". On the other hand, the top reviewer of SAP Data Governance writes "A robust solution that establishes rules, policies, and procedures". erwin Data Intelligence by Quest is most compared with Microsoft Purview Data Governance, Collibra Governance, Alation Data Catalog, Informatica Axon and Collibra Lineage, whereas SAP Data Governance is most compared with Microsoft Purview Data Governance, Alation Data Catalog and Informatica Axon.
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